Pre-operative Mental Health Predicts Clinically Meaningful Outcomes after Osteochondral Allograft for Cartilage Defects of the Knee: A Machine Learning Analysis

Jaret Karnuta, Heather Haeberle, Kwadwo Owusu-Akyaw, Kwame Nkrumah, Scott Rodeo, Benedict Nwachukwu, Riley Williams, Prem Ramkumar

Open source

DOI
10.1177/2325967121s00217
Published
2021-07-01
Container
Orthopaedic Journal of Sports Medicine
Publisher
SAGE Publications
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1177/2325967121s00217,
  title = {Pre-operative Mental Health Predicts Clinically Meaningful Outcomes after Osteochondral Allograft for Cartilage Defects of the Knee: A Machine Learning Analysis},
  author = {Jaret Karnuta and Heather Haeberle and Kwadwo Owusu-Akyaw and Kwame Nkrumah and Scott Rodeo and Benedict Nwachukwu and Riley Williams and Prem Ramkumar},
  year = {2021},
  journal = {Orthopaedic Journal of Sports Medicine},
  doi = {10.1177/2325967121s00217},
  url = {https://doi.org/10.1177/2325967121s00217}
}

RIS

TY  - JOUR
TI  - Pre-operative Mental Health Predicts Clinically Meaningful Outcomes after Osteochondral Allograft for Cartilage Defects of the Knee: A Machine Learning Analysis
AU  - Jaret Karnuta
AU  - Heather Haeberle
AU  - Kwadwo Owusu-Akyaw
AU  - Kwame Nkrumah
AU  - Scott Rodeo
AU  - Benedict Nwachukwu
AU  - Riley Williams
AU  - Prem Ramkumar
PY  - 2021
JO  - Orthopaedic Journal of Sports Medicine
DO  - 10.1177/2325967121s00217
UR  - https://doi.org/10.1177/2325967121s00217
ER  - 

APA

Karnuta, J., Haeberle, H., Owusu-Akyaw, K., Nkrumah, K., Rodeo, S., Nwachukwu, B., Williams, R., & Ramkumar, P. (2021). Pre-operative Mental Health Predicts Clinically Meaningful Outcomes after Osteochondral Allograft for Cartilage Defects of the Knee: A Machine Learning Analysis. Orthopaedic Journal of Sports Medicine. https://doi.org/10.1177/2325967121s00217

Source records